All Outputs (7)

Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems (2022)
Conference Proceeding
Chamberlain, A., Benford, S., Fischer, J., Barnard, P., Greenhalgh, C., Row Farr, J., …Adams, M. (2022). Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems. In ACI '22: Proceedings of the Ninth International Conference on Animal-Computer Interaction. https://doi.org/10.1145/3565995.3566046

From cat feeders and cat flaps to robot toys, humans are deploying increasingly autonomous systems to look after their pets. In parallel, industry is developing the next generation of autonomous systems to look after humans in the home – most notably... Read More about Designing for Trust: Autonomous Animal-Centric Robotic & AI Systems.

Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint) (2022)
Working Paper
Huang, Y., Benford, S., Li, B., Price, D., & Blake, H. Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint)

Background: Encouraging office workers to break up prolonged sedentary behavior (SB) at work with regular micro-breaks can be beneficial yet challenging. Internet of Things (IoT) offers great promise for delivering more subtle and hence acceptable b... Read More about Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint).

Reflections on RRI in “TAS for Health at Home” (2022)
Journal Article
Jäger, N., Dowthwaite, L., Barnard, P., Hughes, A., das Nair, R., Crepaz-Keay, D., …Benford, S. (2022). Reflections on RRI in “TAS for Health at Home”. Journal of Responsible Technology, 12, Article 100049. https://doi.org/10.1016/j.jrt.2022.100049

We reflect on our experiences using Responsible Research and Innovation (RRI) in the project “TAS for Health at Home”. Driven by a multi-disciplinary research team that consisted of experts in mental health, stroke rehabilitation, management of multi... Read More about Reflections on RRI in “TAS for Health at Home”.

Crafting Trajectories of Smart Phone Use at the Opera (2022)
Journal Article
Greenhalgh, C., Hazzard, A., Benford, S., Cliffe, L., & Kelly, E. (2022). Crafting Trajectories of Smart Phone Use at the Opera. ACM Transactions on Computer-Human Interaction, 29(6), 1-37. https://doi.org/10.1145/3531007

Losing Her Voice is a new opera which highlights the challenges of subtly interweaving digital technologies into established cultural forms. Audience members were encouraged to use their own mobile phones to interact with on-stage projections before,... Read More about Crafting Trajectories of Smart Phone Use at the Opera.

Sensitive Pictures: Emotional Interpretation in the Museum (2022)
Conference Proceeding
Benford, S., Sundnes Løvlie, A., Ryding, K., Rajkowska, P., Bodiaj, E., Paris Darzentas, D., …Spanjevic, B. (2022). Sensitive Pictures: Emotional Interpretation in the Museum. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3502080

Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional vis... Read More about Sensitive Pictures: Emotional Interpretation in the Museum.

Data-Driven Visiting Experiences (2022)
Book Chapter
Benford, S., Darzentas, D., Bodiaj, E., Tennent, P., Martindale, S., Cameron, H., & Spors, V. (2022). Data-Driven Visiting Experiences. In A. Waern, & A. S. Løvlie (Eds.), Hybrid Museum Experiences: Theory and Design (157-175). Amsterdam University Press. https://doi.org/10.5117/9789463726443

Data is seen as the ‘new oil’ that drives the digital economy, and museums are no exception to this. We investigate how data captured from hybrid museum experiences can become a resource for designers, for museums, and for visitors in their understan... Read More about Data-Driven Visiting Experiences.

Data-inspired co-design for museum and gallery visitor experiences (2022)
Journal Article
Darzentas, D., Cameron, H., Wagner, H., Craigon, P., Bodiaj, E., Spence, J., …Benford, S. (2022). Data-inspired co-design for museum and gallery visitor experiences. AI EDAM, 36, Article e3. https://doi.org/10.1017/S0890060421000317

The capture and analysis of diverse data is widely recognized as being vital to the design of new products and services across the digital economy. We focus on its use to inspire the co-design of visitor experiences in museums as a distinctive case t... Read More about Data-inspired co-design for museum and gallery visitor experiences.